code: def wrap_backend_debug(unconfigured_compiler_fn, compiler_name: str):
      """
      A minifier decorator that wraps the TorchDynamo produced Fx graph modules.
      As opposed to wrap_compiler_debug, this wrapper intercepts at the
      TorchDynamo produced Fx Graph Module. This makes it backend-agnostic to some
      level, e.g., it is useful for minifying issues related to Aot Autograd
      tracing.  If an error is found, we minify and save the minified repro in
      repro.tar.gz.
      """
  
      @functools.wraps(unconfigured_compiler_fn)
      def debug_wrapper(gm, example_inputs, **kwargs):
          compiler_fn = functools.partial(
              unconfigured_compiler_fn, **kwargs
          )
          assert config.repro_after in ("dynamo", "aot", None)
  
          if config.repro_after == "dynamo":
  
              def add_paths(exc):
                  exc.minifier_path = os.path.join(
                      minifier_dir(), "minifier_launcher.py"
                  )
                  if use_buck:
                      exc.buck_command = " ".join(
                          BUCK_CMD_PREFIX
                          + [
                              BuckTargetWriter(
                                  exc.minifier_path
                              ).cmd_line_path
                          ]
                      )
  
              if config.repro_level == 3:
                  dump_to_minify_after_dynamo(
                      gm, example_inputs, compiler_name
                  )
  
              # Check for either accuracy (level 4) or other type of failures.
              if config.repro_level == 4:
                  # Check Accuracy
                  compiled_gm = compiler_fn(
                      copy.deepcopy(gm), example_inputs
                  )
                  if backend_accuracy_fails(
                      gm, example_inputs, compiler_fn
                  ):
                      log.warning(
                          "Accuracy failed for the TorchDynamo produced graph. Creating script to minify the error."
                      )
                      dump_to_minify_after_dynamo(
                          fx.GraphModule(gm, copy.deepcopy(gm.graph)),
                          example_inputs,
                          compiler_name,
                      )
                      exc = AccuracyError("Bad accuracy detected.")
                      add_paths(exc)
                      raise exc
              else:
                  try:
                      compiled_gm = compiler_fn(
                          copy.deepcopy(gm), example_inputs
                      )
                      run_fwd_maybe_bwd(compiled_gm, example_inputs)
                  except Exception as exc:
                      log.warning(
                          "Compiled Fx GraphModule failed. Creating script to minify the error."
                      )
                      if config.repro_level == 1:
                          dump_state_fn = functools.partial(
                              dump_backend_state,
                              compiler_name=compiler_name,
                          )
                          dump_state_fn(
                              fx.GraphModule(
                                  gm, copy.deepcopy(gm.graph)
                              ),
                              example_inputs,
                          )
                      elif config.repro_level == 2:
                          dump_to_minify_after_dynamo(
                              fx.GraphModule(
                                  gm, copy.deepcopy(gm.graph)
                              ),
                              example_inputs,
                              compiler_name,
                          )
                      add_paths(exc)
                      raise
          else:
              compiled_gm = compiler_fn(gm, example_inputs)
  
          return compiled_gm
  
      debug_wrapper._torchdynamo_orig_callable = unconfigured_compiler_fn  # type: ignore[attr-defined]
      if hasattr(unconfigured_compiler_fn, "compiler_name"):
          debug_wrapper.__name__ = (
              unconfigured_compiler_fn.compiler_name
          )
      if hasattr(unconfigured_compiler_fn, "get_compiler_config"):
          debug_wrapper.get_compiler_config = unconfigured_compiler_fn.get_compiler_config  # type: ignore[attr-defined]
      return debug_wrapper
  
imports: import argparse
  import copy
  import functools
  import logging
  import os
  import shutil
  import sys
  import textwrap
  from importlib import import_module
  from typing import Union
  import torch
  import torch.fx
  from torch._dynamo.debug_utils import AccuracyError, backend_accuracy_fails, BUCK_CMD_PREFIX, BuckTargetWriter, extra_imports, generate_config_string, helper_for_dump_minify, InputReader, InputWriter, minifier_dir, NNModuleToString, NopInputReader, run_fwd_maybe_bwd, same_two_models
  from torch.fx.experimental.symbolic_shapes import fx_placeholder_targets
  from torch.hub import tqdm
  from ..None import config
  from ..backends.registry import lookup_backend, register_debug_backend
  from ..debug_utils import clone_inputs_retaining_gradness
label_desc: Use image node_id 1 for calling a global function with example usage: wrap_backend_debug(unconfigured_compiler_fn, compiler_name) and returns: debug_wrapper, compiled_gm